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1 /**
2  * Copyright 2020-2021 Huawei Technologies Co., Ltd
3  *
4  * Licensed under the Apache License, Version 2.0 (the "License");
5  * you may not use this file except in compliance with the License.
6  * You may obtain a copy of the License at
7  *
8  * http://www.apache.org/licenses/LICENSE-2.0
9  *
10  * Unless required by applicable law or agreed to in writing, software
11  * distributed under the License is distributed on an "AS IS" BASIS,
12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13  * See the License for the specific language governing permissions and
14  * limitations under the License.
15  */
16 #include <algorithm>
17 
18 #include "minddata/dataset/kernels/ir/vision/bounding_box_augment_ir.h"
19 
20 #ifndef ENABLE_ANDROID
21 #include "minddata/dataset/engine/serdes.h"
22 #include "minddata/dataset/kernels/image/bounding_box_augment_op.h"
23 #endif
24 
25 #include "minddata/dataset/kernels/ir/validators.h"
26 
27 namespace mindspore {
28 namespace dataset {
29 namespace vision {
30 #ifndef ENABLE_ANDROID
BoundingBoxAugmentOperation(const std::shared_ptr<TensorOperation> & transform,float ratio)31 BoundingBoxAugmentOperation::BoundingBoxAugmentOperation(const std::shared_ptr<TensorOperation> &transform, float ratio)
32     : transform_(transform), ratio_(ratio) {}
33 
34 BoundingBoxAugmentOperation::~BoundingBoxAugmentOperation() = default;
35 
Name() const36 std::string BoundingBoxAugmentOperation::Name() const { return kBoundingBoxAugmentOperation; }
37 
ValidateParams()38 Status BoundingBoxAugmentOperation::ValidateParams() {
39   RETURN_IF_NOT_OK(ValidateVectorTransforms("BoundingBoxAugment", {transform_}));
40   RETURN_IF_NOT_OK(ValidateScalar("BoundingBoxAugment", "ratio", ratio_, {0.0, 1.0}, false, false));
41   return Status::OK();
42 }
43 
Build()44 std::shared_ptr<TensorOp> BoundingBoxAugmentOperation::Build() {
45   std::shared_ptr<BoundingBoxAugmentOp> tensor_op = std::make_shared<BoundingBoxAugmentOp>(transform_->Build(), ratio_);
46   return tensor_op;
47 }
48 
to_json(nlohmann::json * out_json)49 Status BoundingBoxAugmentOperation::to_json(nlohmann::json *out_json) {
50   nlohmann::json args, transform_args;
51   nlohmann::json op_item;
52   RETURN_IF_NOT_OK(transform_->to_json(&transform_args));
53   op_item["tensor_op_params"] = transform_args;
54   op_item["tensor_op_name"] = transform_->Name();
55   args["transform"] = op_item;
56   args["ratio"] = ratio_;
57   *out_json = args;
58   return Status::OK();
59 }
60 
from_json(nlohmann::json op_params,std::shared_ptr<TensorOperation> * operation)61 Status BoundingBoxAugmentOperation::from_json(nlohmann::json op_params, std::shared_ptr<TensorOperation> *operation) {
62   CHECK_FAIL_RETURN_UNEXPECTED(op_params.find("transform") != op_params.end(), "Failed to find transform");
63   CHECK_FAIL_RETURN_UNEXPECTED(op_params.find("ratio") != op_params.end(), "Failed to find ratio");
64   std::vector<std::shared_ptr<TensorOperation>> transforms;
65   std::vector<nlohmann::json> json_operations = {};
66   json_operations.push_back(op_params["transform"]);
67   RETURN_IF_NOT_OK(Serdes::ConstructTensorOps(json_operations, &transforms));
68   float ratio = op_params["ratio"];
69   CHECK_FAIL_RETURN_UNEXPECTED(transforms.size() == 1,
70                                "Expect size one of transforms parameter, but got:" + std::to_string(transforms.size()));
71   *operation = std::make_shared<vision::BoundingBoxAugmentOperation>(transforms[0], ratio);
72   return Status::OK();
73 }
74 #endif
75 }  // namespace vision
76 }  // namespace dataset
77 }  // namespace mindspore
78